AI & ML Certification Online for USA Professionals – AI/ML Programs

Stay ahead in the United States’ fast-evolving technology landscape with AI and ML certifications through upGrad, designed for professionals looking to turn data into strategic business solutions. These programs offer practical, industry-aligned skills that empower learners to innovate, compete, and lead in America’s rapidly growing digital economy.

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Machine Learning and AI

Liverpool John Moores University

GenAI Integrated curriculum

Master of Science in Machine Learning & AI

Masters
18 Months
IOA Accredited

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IIIT Bangalore

20+ Programming and Gen AI tools

Executive Diploma in Machine Learning and AI

Diploma
12 Months
600+ Hours of Learning

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Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.

Online Machine Learning and AI Courses in the USA: Key Details at a Glance

1. AI and Machine Learning Programs in the USA – A Quick Overview

As a core area of Artificial Intelligence (AI), Machine Learning (ML) creates systems that learn and improve autonomously. An ML system does not rely on previously programmed instructions. Instead, it assesses large datasets and data patterns and takes action automatically based on predefined rules.

Professionals and students looking to gain expertise in AI or ML should consider courses aligned with industry needs and that provide a clear path to the knowledge required to succeed. The program should cover AI concepts, the basics of AI and ML, the programming skills needed to work with these technologies, mathematics, and other specialized fields.

Learners can find a variety of online courses on the upGrad platform for US professionals to develop their expertise in AI and ML through industry-relevant course content, experienced faculty, and practical learning experiences.

Who Should Consider AI/ML Programs in the USA?

Engineers
Software and IT Professionals
Data Professionals
Graduates: Entering high-demand careers in AI and data science.
Managers/Analysts: Making smarter, data-driven decisions.
Entrepreneurs: Applying AI/ML to grow their businesses.

Why Is It the Best Time to Pursue AI and Machine Learning Courses in the USA?

As the U.S. rapidly becomes a global AI hub and demand for qualified talent surges across industries, it is the best time to pursue AI and ML courses and gain skills in trending technologies. Substantial industry investment and growing adoption across sectors make AI/ML skills highly rewarding and future-proof:

USA leads in AI innovation: Backed by major technology investments, cutting-edge research, and significant government support, the USA is a leading global player in AI.
Massive talent shortage: AI roles are growing rapidly, but the supply of qualified professionals remains limited.
High ROI for learners: AI-skilled professionals in the US earn significantly higher salaries and experience faster career growth.
Cross-industry demand: Fintech, healthtech, logistics, retail, and manufacturing sectors are rapidly hiring AI and ML experts.

Career Opportunities in the USA with AI/ML Certifications

Take a look at some career opportunities in AI/ML in the USA:

Job Role	Description
AI Researcher	Creates advanced AI models and experiments with emerging algorithms to drive innovation across U.S. industries.
Machine Learning Engineer	Develops, engineers, and deploys machine learning systems powering real-world applications in the American technology landscape.
Data Scientist	Uses statistical methods, machine learning, and visualization to derive insights from large U.S. datasets.
AI Product Manager	Bridges technical teams and business leaders, guiding AI product strategy and development in U.S. organizations.
NLP Engineer	Develops advanced chatbots, voice assistants, and text-driven AI tools widely used across the U.S.

Skill Sets Required for Success in the AI/ML Field

Professionals in the field of AI and ML need both technical and soft skills to excel in their careers:

Hard Skills

SQL: Essential for handling and analyzing large datasets used in U.S. businesses.
Scikit-learn: A commonly used U.S. industry tool for implementing machine learning models.
Python: The primary programming language used across U.S. tech companies for AI/ML applications.
TensorFlow: A major deep learning framework used by U.S. organizations for neural network development.
Data preprocessing: Cleaning and preparing business data for machine learning.
ML algorithms: Applying supervised, unsupervised, and advanced algorithms across industries such as finance, healthcare, and retail.

Soft Skills

Problem-solving: Using data-driven approaches to solve U.S. business challenges.
Communication: Presenting technical results clearly to U.S.-based stakeholders.
Critical thinking: Evaluating complex issues and making informed decisions for AI/ML solutions.
Collaboration: Working with engineers, analysts, and business teams to achieve AI-driven outcomes.

2. Overview of Machine Learning and AI Courses Offered in the USA

The table below lists some AI and ML courses offered through upGrad and their overview:

Program

University

Duration

Features

Executive Diploma in Machine Learning and AI

IIIT-Bangalore

12 Months

3-Month Free Programming Bootcamp for Beginners

Specialise in MLOps or Generative AI

Capstone Project Tailored to Your Chosen Domain

Boost Your GitHub and Kaggle Portfolios Faster

Hands-on learning with 60+ case studies and 80+ programming and Generative AI tools

Master of Science in Machine Learning & AI

Liverpool John Moores University

18 Months

Personalized 1:1 coaching

Daily doubt resolution support

Fortnightly mentorship sessions with industry experts

Generative AI integrated modules, tools, and projects

Artificial Intelligence and Machine Learning Course Eligibility & Admission Criteria

Eligibility and admission criteria for Machine Learning and Artificial Intelligence courses vary by institution.

Course Duration

Duration may vary depending on the program and the institution. For instance, the online Master of Science in Machine Learning & AI from Liverpool John Moores University is an 18-month program, whereas the Executive Diploma in Machine Learning and AI from IIIT-B is a 12-month course.

Eligibility Criteria

A bachelor's degree with a minimum score of 50% or an equivalent CGPA is the minimum eligibility requirement

A 50% (or equivalent) mark in a bachelor's degree is the key prerequisite. Some universities may require a background in math/statistics, but it is not mandatory. Depending on the program, 1 year of experience in programming or analytics may help.

Curriculum Highlights and Specializations Available

Specialization:

ML Ops

Suits those focused on AI deployment & operations.
Future-ready curriculum: Real-time ML pipelines, multi-cloud (AWS, GCP, Azure), CI/CD, Kafka, PySpark, LLMOps with Chroma & Milvus.
Upgraded tools: Kubernetes, FastAPI, MLflow, SageMaker.
Industry projects: 12+ hands-on projects across 6+ domains.

Generative AI

Suits those looking to build a career with Generative AI.
Future-ready curriculum: Advanced ML/DL, GenAI, multimodal LLMs, agentic systems.
Upgraded tools: Gemini, DeepSeek, Claude, CreAI, Ollama, LangGraph, Imagen, Autogen.
Industry projects: 12+ projects in 5+ domains.

Real-World Applications of AI and ML

AI in finance for fraud detection, credit risk evaluation, and algorithmic trading.
Healthcare uses ML for predictive diagnostics and medical image analysis.
Retail leverages AI for customer segmentation, demand forecasting, and personalized recommendations.
Logistics and transportation use ML for route optimization, inventory management, and supply chain improvement.
Brands use AI and natural language processing to enhance marketing targeting, sentiment analysis, and consumer behavior predictions.

Hands-On Projects and Industry Collaborations

Authentic datasets from finance, healthcare, retail, and social media for real-world learning.
Use of technologies like Python, TensorFlow, PyTorch, Scikit-learn, and cloud services (AWS, Azure, GCP).
End-to-end project development including data collection, preprocessing, modeling, and evaluation.
Team projects and case studies provide practical industry experience.

3. upGrad’s Online AI/ML Program Highlights

Programs are offered in collaboration with globally recognized universities on the upGrad platform.
Learners work on USA-focused projects.
Personalized mentorship is offered.
Machine Learning, Deep Learning, Natural Language Processing, MLOps, and Generative AI are all covered within the program’s broad scope.
Over 60 case studies combined with 80+ programming tools and Generative AI.
Each learner can choose one of the two specializations offered: MLOps or Generative AI.
Capstone projects are tailored to your domain.
All first-time learners receive a 3-month programming bootcamp.
Upon completing the course, learners become graduates of IIIT Bangalore.
Flexible online learning designed especially for working professionals.
Over 500 hours of learning, setup, and building industry projects for your resume.
Learn specialized modules and advanced tools in Generative AI, including LangChain and LLMs.
The program is supported by the academic legacy of IIIT Bangalore and global expertise from LJMU, with a network of 10,000+ alumni.
Choose from 15+ industry projects.
Optional on-campus immersion available.

4. How to Choose the Right Online Machine Learning and AI Course in the USA

As demand for AI and ML professionals increases across the United States, selecting the right course can give you an advantage in the job market. The ideal program will provide opportunities for practical experience, flexibility to fit your schedule and career aspirations, and strong career assistance.

What to Look for:

Accreditation from Reputable Institutions: Choose programs accredited by respected U.S. universities or globally accredited institutions to ensure your credentials are recognized by employers.
Comprehensive Curriculum: Ensure the course covers supervised and unsupervised learning, along with advanced topics such as deep learning, MLOps, and Generative AI.
Hands-on Experience: Look for programs that offer real-world projects, case studies, and exposure to industry tools like Python, TensorFlow, and PyTorch.
Mentorship and Support: Check whether the course provides experienced faculty, live sessions, and 1-on-1 mentoring.
Career Support and Flexibility: Opt for programs that assist with resume building and interview preparation and offer flexible online formats suitable for working professionals in the U.S.

5. FAQs About Machine Learning and AI Courses in the USA

Is it worth learning machine learning in the USA?

Pursuing machine learning in the USA is worthwhile due to ongoing demand, strong salary potential, and significant career growth opportunities in ML and AI across various industries. The field is rapidly expanding, offering a chance to work on cutting-edge technology and take on strategic, impactful roles.

What are the prerequisites for enrolling in AI and machine learning courses in the USA?

A minimum of 50% (or equivalent) in a bachelor's degree is the primary prerequisite for an online AI and ML course. Some universities may prefer a background in math/statistics, but it is not mandatory. Depending on the program, 1 year of experience in programming or analytics may be beneficial.

Can individuals from non-technical backgrounds pursue machine learning courses in the USA?

Yes, individuals from non-technical backgrounds can pursue machine learning courses in the USA, as many programs are beginner-friendly and designed for a wide range of learners.

Which programming language should I learn for machine learning in the USA?

Python is the best programming language to learn for machine learning in the USA due to its extensive libraries, strong community support, and ease of use. While R, Java, and C++ have specific use cases, Python is the most versatile and widely preferred.

How to prepare for a machine learning interview in the USA?

To prepare for a machine learning interview in the USA, review ML fundamentals, practice coding, gain hands-on experience with tools like Python, TensorFlow, and PyTorch, work on real-world projects, and develop strong communication and problem-solving skills.

How can AI and machine learning courses help professionals across different industries in the USA?

AI and machine learning courses help professionals by enhancing career prospects, boosting earning potential, and equipping them with skills to automate tasks, improve decision-making, and optimize business processes across industries.

What career opportunities are available after completing an AI or machine learning course in the USA?

Graduates can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, Robotics Engineer, NLP Engineer, Computer Vision Specialist, Data Analyst, Consultant, or AI Product Manager.

What are the prospects of AI and machine learning jobs in the USA?

The prospects for AI and ML jobs in the USA are strong, driven by rapid industry growth, high salaries, and increasing adoption of AI across sectors. New positions continue to emerge as technologies evolve.

What support does upGrad provide to AI and ML learners in the USA?

upGrad offers mentorship, personalized feedback, doubt resolution, resume support, interview preparation, and networking opportunities to help AI and ML learners succeed in their career goals.

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The urge to upskill myself led me to join this program. The program has been really great and has instilled a sense of confidence in me. The idea that i am part of something that is going to bring a revolution in near future is incredible. Post upGrad, i plan to continue my journey into the vast ocean of Artifical Intelligence and make a good name for myself. Read More

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Atul Chauhan

Applied Controls Engineer at Daikin
8 Years of Experience

The progress in AI and ML in the last decade sparked my curiosity about this topic

The progress in AI and ML in the last decade sparked my curiosity about this topic. The upGrad program looked well planned and built, with a reasonable price. The offline mode of education allowed me to study and learn while working at my job. During my learning journey with upGrad, I reinforced and learned new concepts I plan to use in my daily life and professional career. In the future, I will continue working and learning about these topics and applying them to my jobs. Read More

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Jheser Guzman Illanes

Vice President of Software Engineering at JPMorgan Chase & Co.
18 Years of Experience

My journey in the Post Graduate Diploma in AI and ML program has been transformative

My journey in the Post Graduate Diploma in AI and ML program has been transformative. I was initially drawn to the program due to my fascination with AI and ML, and it has exceeded my expectations. The curriculum, practical assignments, and hands-on projects have provided me with a comprehensive understanding of AI and ML principles and applications. This program has had a significant impact on my professional life, equipping me with the skills and knowledge to tackle complex challenges in the field. The program addressed my challenges in staying updated and lacking a structured learning path by providing a comprehensive curriculum and expert guidance. Collaborating with fellow learners and engaging with industry experts have been wonderful. Looking ahead, I am excited to apply my knowledge in the real world, pursue a career in AI and ML, and continue my learning journey. Overall, this program has been transformative, providing me with the tools and opportunities to excel in the dynamic field of AI and ML Read More

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Talha Anwer

Critical Care Service Engineer at Mediserv
11 Years of Experience

It was a fantastic journey so far with the support of upGrad team

I wanted to get into the ML\AI space for some time and decided to enroll in upGrad after being inspired by a friend. It was a fantastic journey so far with the support of upGrad team (special kudos to Karen for the excellent job) and I never imagined that I can make this far as I am a pretty occupied individual personally as well as professionally. I am looking forward to complete my masters and pursue PhD in near future. The foundation provided was fabulous and has enabled me to do design some innovative solutions at work. Thanks to upGrad for making it happen. Read More

Vsmy Naresh Kumar Kuppili

Solution Architect at Image Access Corp
11 Years of Experience

AI & ML Domain Insights

Latest Industry Trends in Machine Learning and AI

Machine Learning Surges: Global Market Set to expand

17.15% growth expected in the machine learning market by 2030

US $70.63 billion U.S. is the largest market for Machine Learning in 2024

$225.91 billion The global machine learning market touted to grow by 2030

$161.81 billion The global natural language processing market is expected to grow by 2029

344% surge in machine learning engineer job postings over the past five years

166% increase in demand machine learning skills over the past two years

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